Staff AI Engineer (Knowledge)
Core
Architect, implement, and optimize enterprise knowledge systems, knowledge graphs, and AI-powered retrieval platforms to capture, structure, and leverage collective organizational knowledge.
Role type
Staff AI Engineer (Enterprise Knowledge Systems & RAG)
Builds
Enterprise knowledge graphs, RAG platforms, semantic search systems, and AI-ready knowledge repositories.
Domain
Healthcare / Enterprise Knowledge Management / AI
Deliverable
production ML models | infrastructure
Required skills
LLM-based architectures, retrieval-augmented generation (RAG), vector embeddings, knowledge graph design, semantic modeling, ontology engineering, metadata management, Python, REST APIs, ML/LLMOps tooling, Azure AI Services, Azure AI Foundry, enterprise content management platforms.
Preferred skills
Healthcare domain expertise, Responsible AI practices, stakeholder management, roadmap definition, cross-functional collaboration.
Technologies
Databricks, Snowflake, Azure, FastAPI, LangChain, Semantic Kernel, SharePoint, Microsoft 365, Teams, Confluence, Azure OpenAI.
Responsibilities
Design and implement frameworks, models, and standards for enterprise knowledge architecture; Build and maintain enterprise knowledge graph platforms modeling entities and relationships; Architect and implement RAG platforms and AI-ready knowledge repositories; Build and maintain pipelines for knowledge ingestion and integration from diverse enterprise sources; Design and implement enterprise search and discovery platforms with semantic and AI-powered capabilities.
Seniority
Staff, hands-on IC with strategic influence
